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Deep Seek-R1 vs Llama 2 Chat 70B: Benchmarks, Pricing, and Context Window Comparison

Deep Seek-R1 vs Llama 2 Chat 70B compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

Deep Seek-R1 has lower listed token pricing, while Llama 2 Chat 70B can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Deep Seek-R1
to
Llama 2 Chat 70B
Overview
Deep Seek-R1 was released 19 months after Llama 2 Chat 70B.
Deep Seek-R1
Llama 2 Chat 70B
Provider
The entity that provides this model.
DeepSeek
Meta
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
4,096
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
2,048
tokens
Release Date
When the model was first released.
2025-01-21
2023-07-18
Leaderboard
Deep Seek-R1
Llama 2 Chat 70B
Rank
Unknown
41
Arena Elo
Not specified.
1088
95% CI
Not specified.
+3/-4
Votes
Not specified.
38748
License
Not specified.
Llama 2 Community
Knowledge Cutoff
Unknown
7/2023
Pricing
Deep Seek-R1
Llama 2 Chat 70B
Input
Cost of input data provided to the model.
$0.55
per million tokens
$0.65
per million tokens
Output
Cost of output tokens generated by the model.
$2.19
per million tokens
$2.75
per million tokens
Benchmarks
Compare relevant benchmarks between Deep Seek-R1 and Llama 2 Chat 70B Instruct.
Deep Seek-R1
Llama 2 Chat 70B
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
90.8
(5-shot)
Source
68.9
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
30.1
Source
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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